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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Graph of Thoughts: Solving Elaborate Problems with Large Language Models
Maciej Besta, Nils Blach, Ales Kubicek, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 16, pp. 17682-17690
Open Access | Times Cited: 117

Showing 1-25 of 117 citing articles:

A survey on large language model based autonomous agents
Lei Wang, Chen Ma, Xueyang Feng, et al.
Frontiers of Computer Science (2024) Vol. 18, Iss. 6
Open Access | Times Cited: 215
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Jingfeng Yang, Hongye Jin, Ruixiang Tang, et al.
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 6, pp. 1-32
Open Access | Times Cited: 173
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal
Ke Liang, Lingyuan Meng, Meng Liu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 9456-9478
Open Access | Times Cited: 52
Applying large language models and chain-of-thought for automatic scoring
Gyeong-Geon Lee, Ehsan Latif, Xuansheng Wu, et al.
Computers and Education Artificial Intelligence (2024) Vol. 6, pp. 100213-100213
Open Access | Times Cited: 37
Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles
Can Cui, Yunsheng Ma, Xu Cao, et al.
(2024), pp. 902-909
Open Access | Times Cited: 32
Receive, Reason, and React: Drive as You Say, With Large Language Models in Autonomous Vehicles
Can Cui, Yunsheng Ma, Xu Cao, et al.
IEEE Intelligent Transportation Systems Magazine (2024) Vol. 16, Iss. 4, pp. 81-94
Open Access | Times Cited: 29
Artificial intelligence for literature reviews: opportunities and challenges
F. J. Bolaños, Angelo A. Salatino, Francesco Osborne, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 29
Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus
Seungpil Lee, Woochang Sim, Donghyeon Shin, et al.
ACM Transactions on Intelligent Systems and Technology (2025)
Open Access | Times Cited: 2
From Matching to Generation: A Survey on Generative Information Retrieval
Xiaoxi Li, J. S. Jin, Yujia Zhou, et al.
ACM transactions on office information systems (2025)
Closed Access | Times Cited: 2
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)
Vishal Pallagani, Bharath Muppasani, Kaushik Roy, et al.
Proceedings of the International Conference on Automated Planning and Scheduling (2024) Vol. 34, pp. 432-444
Open Access | Times Cited: 15
UrbanGPT: Spatio-Temporal Large Language Models
Zhonghang Li, Lianghao Xia, Jiabin Tang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 5351-5362
Open Access | Times Cited: 14
GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation
Tong Wu, Guandao Yang, Zhibing Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 22227-22238
Closed Access | Times Cited: 13
Integrating Graphs With Large Language Models: Methods and Prospects
Shirui Pan, Yizhen Zheng, Yixin Liu
IEEE Intelligent Systems (2024) Vol. 39, Iss. 1, pp. 64-68
Open Access | Times Cited: 12
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods
Yuji Cao, Huan Zhao, Yuheng Cheng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024), pp. 1-21
Open Access | Times Cited: 11
Compositional Chain-of-Thought Prompting for Large Multimodal Models
Chancharik Mitra, Brandon Huang, Trevor Darrell, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. abs/2204.14198, pp. 14420-14431
Closed Access | Times Cited: 10
Large models for intelligent transportation systems and autonomous vehicles: A survey
Lu Gan, Wenbo Chu, Guofa Li, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102786-102786
Closed Access | Times Cited: 8
A survey on LLM-based multi-agent systems: workflow, infrastructure, and challenges
Xinyi Li, S. Wang, Siqi Zeng, et al.
Vicinagearth. (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 8
Human–robot interaction through joint robot planning with large language models
Kosi Asuzu, Harjinder Singh, Moad Idrissi
Intelligent Service Robotics (2025)
Closed Access | Times Cited: 1
Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey
Qika Lin, Y. C. Zhu, Mei Xin, et al.
Information Fusion (2024), pp. 102795-102795
Open Access | Times Cited: 8
The comparison of general tips for mathematical problem solving generated by generative AI with those generated by human teachers
Jiyou Jia, Tianrui Wang, Yuyue Zhang, et al.
Asia Pacific Journal of Education (2024) Vol. 44, Iss. 1, pp. 8-28
Closed Access | Times Cited: 7
Correctness Comparison of ChatGPT‐4, Gemini, Claude‐3, and Copilot for Spatial Tasks
Hartwig H. Hochmair, Levente Juhász, Takoda Kemp
Transactions in GIS (2024) Vol. 28, Iss. 7, pp. 2219-2231
Open Access | Times Cited: 7
A Multimodal Approach to Estimate Large Language Model Improvisational Capabilities
박진우, 최세린
(2024)
Open Access | Times Cited: 6
How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses
Jionghao Lin, Feifei Han, Danielle R. Thomas, et al.
International Journal of Artificial Intelligence in Education (2024)
Open Access | Times Cited: 6
LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?
Zeyang Zhang, Xin Wang, Ziwei Zhang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 4350-4361
Open Access | Times Cited: 6
Navigating Ontology Development with Large Language Models
Mohammad Javad Saeedizade, Eva Blomqvist
Lecture notes in computer science (2024), pp. 143-161
Closed Access | Times Cited: 5
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